Prerequisites:

Basic computer science principles and skills

Enterprise architecture modeling

Business process modeling
Courses:

System Analysis&Organization Design

Enterprise Architecture Modeling

Advanced Data Analysis&Big Data for Business Intelligence
An information asset can be defined as a body of knowledge that is organized and
managed as a single entity. Nowadays information becomes one of the most valued
enterprise assets. Proper governance of information becomes a critical success
factor. Determining the value of information is a necessary component of asset
management.
Enterprise iinformation asset comprises a wide range of corporate product, service and
process information and organizes information that is valuable and easily accessible to
those who need it. The financial value of information asset increases in direct
relationship to the number of people who are able to make use of the information.
The course gives students understanding of the role and types of enterprise information
assets, discusses the life cycle of information assets. The course considers questions of
data governance, organizational levels and roles for implementing data governance and
potential barriers to progress in implementing data governance in organization.
A special part of the course is devoted to the Big Data governance and their evaluation
as an information asset, business outcomes.
Topics include:

Enterprise Information Assets: End User (external) Information Assets, End User
(internal) Information Assets, Business Process Information Assets, Client
Staff Information Assets, information assets creation and management

Data Governance: Data Management Planning (Data Management Professional
Organizations, Data Governance & Stewardship Organizations, Identifying and
Appointment of Data Stewards, Identifying of Strategic Enterprise Data Needs,
Development and Maintenance of the Data Strategy, Data Policies, Standards and
Procedures, Reviewing and Approving of Data Architecture, Data Management Projects
and Services, Data Asset Value and Associated Costs); Data Management Supervision
and Control (Data Management Professional Staff and Organizations, Coordination of
Data Governance Activities, Management and Resolving of Data Related Issues,
Regulatory Compliance Monitoring and Ensuring, Communicate);

Big Data Governance: Big Data Types (web and social media, machine-to machine
data, big transaction data, biometrics data, human-generated data), organizing for Big
data governance, metadata, Big Data privacy, Big Data quality, managing the life-circle
of Big Data, business process integration.
1. Sunil Soares. Big Data Governance: An Emerging Imperative Paperback, MC
Press Online LLC, 2012
2. Timothy D. Wells, Christine Sevilla Maximizing The Enterprise Information Assets,
CRC press LLC, 2003
3. DAMA-DMBOK GuideTM (Data Management Body of Knowledge). Technics
publications, LLC, 2009